Unknown

Dataset Information

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.


ABSTRACT:

Background

A physical performance evaluation can inform fall risk in older people, however, the predictiveness of a one-time assessment is limited. The trajectory of physical performance over time has not been well characterized and might improve fall prediction. We aimed to characterize trajectories in physical performance and determine if fall prediction improves using trajectories of performance.

Methods

This was a cohort design using data from the National Health and Aging Trends Study. Physical performance was measured by the short physical performance battery (SPPB) with scores ranging from 0 (worst) to 12 (best). The trajectory of SPPB was categorized using latent class modeling and slope-based multilevel linear regression. We used Cox proportional hazards models with

SUBMITTER: Kerber KA 

PROVIDER: S-EPMC10086801 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature